Lectures related to Data Governance in Urban Settings

Fairness in Algorithmic Decision-Making

Delves into the challenges of ensuring fairness in algorithmic decision-making processes, addressing biases and historical injustices in data.

Telecommunication Infrastructure and Smart Cities: How Digitalization Impacts City Governance

Delves into telecommunication infrastructure, smart cities, governance, sustainability, challenges, and real-world impacts of digitalization.

Machine Learning in Human Rights: HURIDOCS

Explores machine learning in human rights, focusing on defining goals, handling false positives and negatives, and ensuring transparency and trust.

Representativeness, Reliability, and Contribution

Discusses data quality evaluation, reliability, representativeness, and process contribution in Life Cycle Assessment.

Signal Detection Theory

Explores Signal Detection Theory and its impact on decision-making processes in statistics and experimental design.

Analytics on Data at Rest and Data in Motion

Explores combining data at rest with data in motion, emphasizing the Lambda architecture complexities and quality assessment of streams and batches.

Data Issues in Research

Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.

Cognition, Language & Emotions

Explores cognitive biases, emotions, and language evolution, covering memory failures, decision-making heuristics, and the origins of language.

Designing Experiments and Measuring Learning

Explores experimental design challenges in social sciences, emphasizing hypothesis formulation, variable control, and bias mitigation.

Ethics and Fairness in Machine Learning

Explores the ethical implications of deploying machine learning algorithms and emphasizes the importance of fairness in decision-making processes.

AI Ethics: Data Bias and Justice

Explores data bias, fairness, and justice in AI systems, highlighting the ethical challenges and considerations involved.

Introduction to Human Rights

Introduces key human rights concepts, explores discrimination, social norms, and the impact of algorithms on rights.

AI Ethics: Bias, Responsibility, and Accountability

Explores AI ethics, addressing bias, responsibility, and accountability in algorithm design and outcomes.

Smart Urban Transportation Systems: The Shift Pathway MOOC: Smart Cities, Management of Smart Urban Infrastructures

Explores the shift pathway in smart urban transportation systems, focusing on new mobility services and their integration.

Supervised Learning: k-NN and Decision Trees

Introduces supervised learning with k-NN and decision trees, covering techniques, examples, and ensemble methods.

Data Annotation: Collection and Biases in NLP

Addresses data collection, annotation processes, and biases in natural language processing.

Optimisation in Energy Systems

Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.

Choice Models: Predicting Consumer Behavior

Explores choice models to predict consumer behavior and market shares.

Decision Tree Classification Log in to Mediaspace to watch this video

Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.

Social and Information Networks 2: Evolution Log in to Mediaspace to watch this video

Delves into social and information networks dynamics, including herding behavior, information cascades, preferential attachment, and the Friendship Paradox.